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| data taxonomy in digital marketing: The Content Advantage (Clout 2.0) Colleen Jones, 2018-07-11 In The Content Advantage (Clout 2.0): The Science of Succeeding at Digital Business Through Effective Content, expert Colleen Jones argues that in the age of digital disruption, your company faces an important choice. The choice is not whether to do content. Every business function–from marketing to sales and from support to recruiting–demands content. The choice is whether to make your approach to content strategic and, consequently, an advantage. This book, which is the second edition of the pioneering content book Clout, offers a modernized and comprehensive approach for planning, creating, delivering, and optimizing content that will make your business thrive. Executives and practitioners alike will find value in this book as they face increasing pressure to deliver the right content to the right customers at the right time. Drawing on her in-the-trenches experience with organizations ranging from the Fortune 50 to small and medium businesses to government and nonprofits, Jones offers: Guidance on creating a content vision A primer on conducting content analysis Techniques for developing a competitive content strategy Elements and principles of effective, influential content A blueprint for developing content intelligence A maturity model for content operations Examples from diverse companies and contexts |
| data taxonomy in digital marketing: Advanced Digital Marketing Strategies in a Data-Driven Era Saura, Jose Ramon, 2021-06-25 In the last decade, the use of data sciences in the digital marketing environment has increased. Digital marketing has transformed how companies communicate with their customers around the world. The increase in the use of social networks and how users communicate with companies on the internet has given rise to new business models based on the bidirectionality of communication between companies and internet users. Digital marketing, new business models, data-driven approaches, online advertising campaigns, and other digital strategies have gathered user opinions and comments through this new online channel. In this way, companies are beginning to see the digital ecosystem as not only the present but also the future. However, despite these advances, relevant evidence on the measures to improve the management of data sciences in digital marketing remains scarce. Advanced Digital Marketing Strategies in a Data-Driven Era contains high-quality research that presents a holistic overview of the main applications of data sciences to digital marketing and generates insights related to the creation of innovative data mining and knowledge discovery techniques applied to traditional and digital marketing strategies. The book analyzes how companies are adopting these new data-driven methods and how these strategies influence digital marketing. Discussing topics such as digital strategies, social media marketing, big data, marketing analytics, and data sciences, this book is essential for marketers, digital marketers, advertisers, brand managers, managers, executives, social media analysts, IT specialists, data scientists, students, researchers, and academicians in the field. |
| data taxonomy in digital marketing: Strategic Corporate Communication in the Digital Age Mark Anthony Camilleri, 2021-02-19 Strategic Corporate Communication in the Digital Age explores how contemporary communication approaches are crossing boundaries as innovative media formats and digital transformations offer new challenges and opportunities to academia and practitioners. |
| data taxonomy in digital marketing: The SAGE Handbook of Digital Marketing Annmarie Hanlon, Tracy L. Tuten, 2022-06-10 Digital marketing changes the dynamics of traditional routes to market, augments conversations and facilitates the measurement of activities by organisations and consumers alike. This Handbook strives to advance the study and understanding of this domain and provides a digital marketing journey that flows from methods and methodologies. It moves from the fundamentals to the different aspects of digital marketing strategy, tactics, metrics and management, and ethics. This Handbook brings together the critical factors in digital marketing as the essential reference set for researchers in this area of continued growth. It is essential reading for postgraduate students, researchers, and practitioners in a range of disciplines exploring digital marketing. Part 1: Foundations of Digital Marketing Part 2: Methodologies and Theories in Digital Marketing Part 3: Channels and Platforms in Digital Marketing Part 4: Tools, Tactics and Techniques in Digital Marketing Part 5: Management and Metrics in Digital Marketing Part 6: Ethical Issues in Digital Marketing |
| data taxonomy in digital marketing: Digital Marketing Strategy Simon Kingsnorth, 2016-05-03 The modern marketer needs to learn how to employ strategic thinking alongside the use of digital media to deliver measurable and accountable business success. Digital Marketing Strategy covers the essential elements of achieving exactly this by guiding you through every step of creating your perfect digital marketing strategy. This book analyzes the essential techniques and platforms of digital marketing including social media, content marketing, SEO, user experience, personalization, display advertising and CRM, as well as the broader aspects of implementation including planning, integration with overall company aims and presenting to decision makers. Simon Kingsnorth brings digital marketing strategy to life through best practice case studies, illustrations, checklists and summaries, to give you insightful and practical guidance. Rather than presenting a restrictive 'one size fits all' model, this book gives you the tools to tailor-make your own strategy according to your unique business needs and demonstrates how an integrated and holistic approach to marketing leads to greater success. Digital Marketing Strategy is also supported by a wealth of online resources, including budget and strategy templates, lecture slides and a bonus chapter. |
| data taxonomy in digital marketing: Digital Analytics for Marketing A. Karim Feroz, Gohar F. Khan, Marshall Sponder, 2024-01-25 This second edition of Digital Analytics for Marketing provides students with a comprehensive overview of the tools needed to measure digital activity and implement best practices when using data to inform marketing strategy. It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective. Demonstrating how to integrate large amounts of data from web, digital, social, and search platforms, this helpful guide offers actionable insights into data analysis, explaining how to connect the dots and humanize information to make effective marketing decisions. The authors cover timely topics, such as social media, web analytics, marketing analytics challenges, and dashboards, helping students to make sense of business measurement challenges, extract insights, and take effective actions. The book’s experiential approach, combined with chapter objectives, summaries, and review questions, will engage readers, deepening their learning by helping them to think outside the box. Filled with engaging, interactive exercises and interesting insights from industry experts, this book will appeal to undergraduate and postgraduate students of digital marketing, online marketing, and analytics. Online support materials for this book include an instructor’s manual, test bank, and PowerPoint slides. |
| data taxonomy in digital marketing: Classification and Data Science in the Digital Age Paula Brito, José G. Dias, Berthold Lausen, Angela Montanari, Rebecca Nugent, 2023-12-07 The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from functional data analysis to time series analysis, and network analysis. The applications reflect new analyses in a variety of fields, including medicine, marketing, genetics, engineering, and education. The book comprises selected and peer-reviewed papers presented at the 17th Conference of the International Federation of Classification Societies (IFCS 2022), held in Porto, Portugal, July 19–23, 2022. The IFCS federates the classification societies and the IFCS biennial conference brings together researchers and stakeholders in the areas of Data Science, Classification, and Machine Learning. It provides a forum for presenting high-quality theoretical and applied works, and promoting and fostering interdisciplinary research and international cooperation. The intended audience is researchers and practitioners who seek the latest developments and applications in the field of data science and classification. |
| data taxonomy in digital marketing: Metadata for Content Management David Diamond, 2016 Metadata for Content Management helps digital content managers think in terms of organization and a practical application of metadata principles. Author David Diamond (DAM Survival Guide) avoids theoretical and academic discussions, instead providing real-world guidance to those designing or redesigning content management or digital asset management systems. Learn how taxonomy and metadata work within digital systems, and see how they affect policy, collaboration, workflow and user acceptance of digital content management systems. |
| data taxonomy in digital marketing: Smart Marketing With the Internet of Things Simões, Dora, Barbosa, Belem, Filipe, Sandra, 2018-07-20 The internet of things (IoT) enhances customer experience, increases the amount of data gained through connected devices, and widens the scope of analytics. This provides a range of exciting marketing possibilities such as selling existing products and services more effectively, delivering truly personalized customer experiences, and potentially creating new products and services. Smart Marketing With the Internet of Things is an essential reference source that discusses the use of the internet of things in marketing, as well as its importance in enhancing the customer experience. Featuring research on topics such as augmented reality, sensor networks, and wearable technology, this book is ideally designed for business professionals, marketing managers, marketing strategists, academicians, researchers, and graduate-level students seeking coverage on the use of IoT in enhancing customer marketing outcomes. |
| data taxonomy in digital marketing: Talent Intelligence Toby Culshaw, 2022-10-03 Leverage the power of Talent Intelligence (TI) to make evidence-informed decisions that drive business performance by using data about people, skills, jobs, business functions and geographies. Improved access to people and business data has created huge opportunities for the HR function. However, simply having access to this data is not enough. HR professionals need to know how to analyse the data, know what questions to ask of it and where and how the insights from the data can add the most value. Talent Intelligence is a practical guide that explains everything HR professionals need to know to achieve this. It outlines what Talent Intelligence (TI) is why it's important, how to use it to improve business results and includes guidance on how HR professionals can build the business case for it. This book also explains how and why talent intelligence is different from workforce planning, sourcing research and standard predictive HR analytics and shows how to assess where in the organization talent intelligence can have the biggest impact and how to demonstrate the results to all stakeholders. Most importantly, this book covers KPIs and metrics for success, short-term and long-term TI goals, an outline of what success looks like and the skills needed for effective Talent Intelligence. It also features case studies from organizations including Philips, Barclays and Kimberly-Clark. |
| data taxonomy in digital marketing: World Wide Data Alfonso Asensio, 2017-12-18 The world is currently in the midst of a data revolution. Consumers now inhabit a digital world and companies have no option but to follow them there. Governments are reviewing the rules of usage for consumer data in marketing and advertising in order to take advantage of the huge economic opportunity that the data driven economy represents. Companies, recognizing the opportunity, are hurrying to adapt by digitalizing their processes. They are putting pressure on their managers and working teams to learn how to make best use of the technology capabilities and their data resources. What is more, premier national companies have to compete in a global business field where their Silicon Valley-breed competitors have a substantial advantage in terms of digitalization and data usage. Written in plain English with illustrative examples and cases, this book is for the general manager who seeks a better grasp of this fast-changing business world and a better understanding of what will be required from he/she, not just now but in five years’ time. |
| data taxonomy in digital marketing: Artificial Intelligence for Marketing Jim Sterne, 2017-08-02 A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the need-to-know aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve. |
| data taxonomy in digital marketing: Understanding Digital Marketing Damian Ryan, 2014-06-03 The world of digital media is changing at a phenomenal pace. Constantly evolving technologies are transforming not just how we access our information but how we interact and communicate with one another on a global scale. Understanding Digital Marketing is a practical, no-nonsense guide to web marketing, the rules of new media and researching the new generation of digital consumers. Clear, informative and entertaining, it covers key topics such as search marketing, social media, Google, mobile marketing, affiliate marketing, email marketing, performance marketing, customer engagement and digital marketing strategies. One of the best-selling books in the industry, this third edition of Understanding Digital Marketing has been thoroughly revised with more information on core areas such as search, analytics, online PR and content marketing. Complete with in-depth insider accounts of digital marketing successes from brands including Harley-Davidson, Help for Heroes, MercadoLibre and the UEFA Europa League, it remains 'one of the most comprehensive yet easy-to-read books on digital marketing available' (The Marketer) and is therefore essential reading for both practitioners and students alike. |
| data taxonomy in digital marketing: The role of data for digital markets contestability Jan Krämer, Daniel Schnurr, Sally Broughton Micova, 2020-09-09 This report analyses the processes that turn data into economic value for online search, e-commerce and media platforms. It concludes that forcing data sharing through policy intervention would not prevent dominant incumbents to continue to benefit economically from greater access to data over new entrants. Instead, policy makers should focus on enabling niche entry, niche growth and a level playing field for competitors in new and emerging markets. Data play a central role in the business models that shape competition and innovation in digital markets. As dominant providers of online services collect ever more user data they generate data-driven network effects. They can then improve their services faster, and venture faster into related markets than competitors with less data, thereby raising entry barriers for innovative start-ups. The authors, Sally Broughton Micova (CERRE & University of East Anglia), Jan Krämer (CERRE & University of Passau) and Daniel Schnurr (University of Passau), have analysed processes that transform data into economic value for online search, e-commerce and media platforms. They find that in each case, more data, especially on user behaviour, gradually improves the quality of the service, thereby generating high economic benefits for the firm. The authors find that data-driven network effects can nevertheless be a source of efficiency which can ultimately benefit consumers. Even if some data is shared through policy intervention, dominant incumbents will continue to benefit economically and competitively from greater access to data over new entrants. “We conclude that it is neither realistic nor desirable to try to break data-driven network effects through policy intervention. Instead, we would strongly encourage policy makers to focus on enabling niche entry and niche growth. To do so, they should facilitate the sharing of behavioural user data gathered by the dominant firm with other firms.” The authors provide policy recommendations for data access remedies to safeguard competition, innovation and the openness of the digital ecosystem: 1. Remedies that achieve a more level playing field in the digital economy by breaking the data-driven network effects of data-rich incumbents should be entertained as a last resort and only under specific conditions. 2. Policy makers should foster data sharing on two levels to strike a balance between consumers’ privacy, competition and innovation. They should require the sharing of aggregated and anonymised raw user data in bulk, after a careful review and on a case-by-case basis. They should also facilitate the sharing of detailed raw user data through improved data portability, based on individual users’ consent. Bulk sharing of raw user data should be limited to data that was collected as a by-product of the incumbent’s dominant user-facing service, such as search logs, in order to maintain incentives for innovation and data collection. The main challenge will be to balance privacy concerns with maintaining enough detailed data to ensure it is of value to third-parties. 3. Dominant firms should also be obliged to allow consumers to port their raw data to another provider continuously and in real time. Privacy concerns can then be overcome and the shared user profiles can be more detailed than under bulk sharing. In concert with bulk-sharing, data portability can be a valuable source for attaining both detailed and representative data sets. |
| data taxonomy in digital marketing: A Marketer's Guide to Digital Advertising Shailin Dhar, Scott Thomson, 2023-05-03 How can individual marketers and their teams navigate the complex issues that seem to overwhelm the digital advertising industry today? They can learn about the metrics worth using, the importance of measurement and the technology available. With contradictory rules surrounding data privacy, measurement constraints, changes to supply chains and other complexities often too difficult to approach, the world of marketing is more complex than ever before. A Marketer's Guide to Digital Advertising helps marketers navigate the complicated world of digital advertising by diving into the metrics, money and technology fueling the marketing industry. Digital advertising consultants Shailin Dhar and Scott Thomson outline the forces shaping the current digital landscape and the common responses from advertisers trying to design their digital strategy. Walking readers through the common missteps made within digital advertising, they provide useful insight into measurement and thoughtful alternatives to practices often found lower on a company's priorities list. A Marketer's Guide to Digital Advertising offers ways to minimize waste and improve outcomes for brands and their business partners. The book illuminates the gap between in-house marketing teams, agency professionals and tech partners whilst helping readers make sense of the way money flows through the global ad industry. |
| data taxonomy in digital marketing: Innovations and Social Media Analytics in a Digital Society Maria José Sousa, Célio Gonçalo Marques, 2022-06-15 Recent advances in digitization are transforming healthcare, education, tourism, information technology, and some other sectors. Social media analytics are tools that can be used to measure innovation and the relation of the companies with the citizens. This book comprises state-ofthe-art social media analytics, and advanced innovation policies in the digitization of society. The number of applications that can be used to create and analyze social media analytics generates large amounts of data called big data, including measures of the use of the technologies to develop or to use new services to improve the quality of life of the citizens. Digitization has applications in fields from remote monitoring to smart sensors and other devices. Integration generates data that need to be analyzed and visualized in an easy and clear way, that will be some of the proposals of the researchers present in this book. This volume offers valuable insights to researchers on how to design innovative digital analytics systems and how to improve information delivery remotely. |
| data taxonomy in digital marketing: Skills for the Digital Transition Assessing Recent Trends Using Big Data OECD, 2022-10-19 This report presents the most recent trends in the labour market demand for digital professionals and skills, highlighting where bottlenecks are emerging and policy action is – and will be – needed to support individuals who aim to thrive in the digital transition. |
| data taxonomy in digital marketing: Artificial Intelligence and Transforming Digital Marketing Allam Hamdan, Esra Saleh Aldhaen, 2023-10-03 This book explores how AI is transforming digital marketing and what it means for businesses of all sizes and looks at how AI is being used to personalize content, improve targeting, and optimize campaigns. This book also examines some of the ethical considerations that come with using AI in marketing. |
| data taxonomy in digital marketing: Real-world Data Mining Dursun Delen, 2015 As business becomes increasingly complex and global, decision-makers must act more rapidly and accurately, based on the best available evidence. Modern data mining and analytics is indispensable for doing this. Real-World Data Mining demystifies current best practices, showing how to use data mining and analytics to uncover hidden patterns and correlations, and leverage these to improve all business decision-making. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, Delen provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: data mining processes, methods, and techniques; the role and management of data; tools and metrics; text and web mining; sentiment analysis; and integration with cutting-edge Big Data approaches. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials. |
| data taxonomy in digital marketing: Ethical AI and Data Management Strategies in Marketing Saluja, Shefali, Nayyar, Varun, Rojhe, Kuldeep, Sharma, Sandhir, 2024-07-18 In today's fast-paced digital world, marketers face an ever-growing challenge: effectively navigating the vast and complex data landscape while ensuring ethical practices. The explosion of digital information has created new opportunities for targeted marketing. Still, it has also raised concerns about privacy, security, and the responsible use of data. Marketers risk damaging consumer trust and facing regulatory scrutiny without a comprehensive understanding of data governance and ethical frameworks. Ethical AI and Data Management Strategies in Marketing provides a timely and comprehensive solution. This insightful guide offers practical strategies for implementing robust data governance plans that focus on eradicating isolated data repositories and adhering to ethical guidelines. These theoretical and actionable strategies give marketers the confidence to implement them effectively. By leveraging the power of artificial intelligence in marketing, marketers can enhance their understanding of the target audience and optimize content creation while maintaining ethical standards. The book delves into essential topics such as data privacy, ethical marketing, and technology ethics, providing valuable insights and practical solutions for managing data ethically in modern marketing. |
| data taxonomy in digital marketing: Digital Finance Perry Beaumont, 2019-09-10 The internet is dramatically transforming the way business is done, particularly for financial services. Digital Finance takes a thoughtful look at how the industry is evolving, and it explains how to integrate concepts of digital finance into existing traditional finance platforms. This book explores what successful companies are doing to maximize their opportunities in this context and offers suggestions on how to introduce digital finance into a firm’s structure. Specific strategies for a digital future are presented, alongside numerous case studies that explore key attributes of success. In recognition of the rapidly evolving nature of finance today, Digital Finance is accompanied by a website maintained by the author (PerryBeaumont.com), as well as links to other content with insightful articles, analyses, and opinions. For both practitioners and students of finance, Digital Finance provides a rich context for a better understanding of the landscape of finance today, and lays the foundation for us to process and create the financial innovations of tomorrow. |
| data taxonomy in digital marketing: E-Commerce and Convergence: A Guide to the Law of Digital Media Susan Singleton, 2021-03-12 Since the last edition ten years ago the pace of technological and legal change has stepped up even more than before with previous editions. New legislation is in force such as the General Data Protection Regulation (GDPR) and UK Data Protection Act 1998 and from 1 January 2021 UKGDPR. The UK Information Commissioner has been looking closely at Ad Tech and what has become known as big data and how data are gathered on-line. Intellectual Property law in the ecommerce area has also changed. There is a very recently agreed new EU copyright directive which is due to be implemented in the 27 EU member states (but not the UK) in 2021. The post-Brexit transition period expired on 31 December 2020 which has implications for the application of ecommerce law in a number of different areas which are all addressed in the new addition. The 2010 EU vertical regulation and guidelines have recently been built on with the EU geo-blocking regulation and the related EU Commission's initiatives in relation to ecommerce in the anti-trust area. In 2020 the UK implemented changes in relation to EU law in the revised 2018 Audiovisual Media Services Directive (AVMS) through the Audiovisual Media Services Regulations 2020 which are addressed in the new edition as post-Brexit the UK is retaining this legislation. Other updates include the distance selling legislation in the Consumer Contracts (Information, Cancellation and Additional Charges) Regulations 2013 and the Consumer Rights Act 2015 which came into force since the last edition. |
| data taxonomy in digital marketing: Beyond Multi-Channel Marketing Maria Palazzo, Pantea Foroudi, Alfonso Siano, 2020-06-17 Delving into the rapidly developing field of dual marketing, investigating the strategic alliances, multi-stakeholder perspectives and branding potential it holds, this book promotes the adoption of the multichannel approach which is fundamental to facing the challenges of marketing 4.0. |
| data taxonomy in digital marketing: Confronting Security and Privacy Challenges in Digital Marketing Pires, Paulo Botelho, Santos, José Duarte, Pereira, Inês Veiga, Torres, Ana Isabel, 2023-07-10 Marketing, and specifically its digital marketing component, is being challenged by disruptive innovations, which are creating new, unique, and unusual opportunities, and with the emergence of new paradigms and models. Other areas of knowledge have embraced these innovations with swiftness, adapting promptly and using them as leverage to create new paradigms, models, and realities. Marketing, in clear opposition, has been somewhat dismissive, ignoring the potential of these new contexts that are emerging, some of which are already unavoidable. Confronting Security and Privacy Challenges in Digital Marketing identifies the most relevant issues in the current context of digital marketing and explores the implications, opportunities, and challenges of leveraging marketing strategies with digital innovations. This book explores the impact that these disruptive innovations are having on digital marketing, pointing out guidelines for organizations to leverage their strategy on the opportunities created by them. Covering topics such as blockchain technology, artificial intelligence, and virtual reality, this book is ideal for academicians, marketing professionals, researchers, and more. |
| data taxonomy in digital marketing: Emerging Advancements in AI and Big Data Technologies in Business and Society Zhao, Jingyuan, Richards, Joseph, Kumar, V. Vinoth, 2024-07-22 Today, the convergence of Artificial Intelligence (AI) and Big Data has revolutionized industries worldwide, driving business growth and reshaping societies. While these technologies have yielded remarkable benefits, many developing countries face challenges in harnessing their potential due to inadequate data collection and availability. Emerging Advancements in AI and Big Data Technologies in Business and Society delves into the profound impact of AI and Big Data on the digital landscape and their transformative influence on social, economic, and political spheres. With a historical overview of AI's evolution and its operational definition, this book explores interconnected subfields such as problem-solving, intelligent agents, natural language processing, computer vision, and machine learning. AI is hailed as the fourth industrial revolution and the widespread use of AI technologies prompts discussions about their applications, performances, and societal impact. This book serves as a comprehensive guide for academics, researchers, and students in universities and engineering schools. It also caters to policymakers, government officers, corporate leaders, technology directors, and managers seeking to understand the potential of AI and Big Data. Additionally, libraries and information centers catering to the needs of these professionals will find this book an essential resource. |
| data taxonomy in digital marketing: Measuring the Digital Transformation A Roadmap for the Future OECD, 2019-03-11 Measuring the Digital Transformation: A Roadmap for the Future provides new insights into the state of the digital transformation by mapping indicators across a range of areas – from education and innovation, to trade and economic and social outcomes – against current digital policy issues, as presented in Going Digital: Shaping Policies, Improving Lives. |
| data taxonomy in digital marketing: Research Anthology on Privatizing and Securing Data Management Association, Information Resources, 2021-04-23 With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data. |
| data taxonomy in digital marketing: Digital Marketing in Sports Brandon Mastromartino, James J. Zhang, 2023-11-10 This book examines how the sport industry is adapting to the needs of the digital-first global economy. Focusing on digital techniques in sport marketing, this volume explores new and emerging technologies and considers how they can help to build commercially successful and sustainable sport business. Featuring the work of sport business and management researchers from around the world, the book shines new light on key aspects of sport marketing such as brand development, consumer behavior and marketing communications. Illustrated with informative figures throughout, it presents cutting-edge case studies and new research on digital marketing covering topics including the metaverse and video games; esports; athlete endorsement; digital immersion; social media; equity crowdfunding; digital fandom and dark market brands. Global in scope, this book is fascinating reading for any student, researcher or industry professional looking to deepen their understanding of digital marketing in the context of the global sport industry. |
| data taxonomy in digital marketing: The Metadata Handbook Renée Register, Thad McIlroy, 2016-02-01 For book publishers large and small: the #1 guide to creating and distributing metadata for maximum sales. The Metadata Handbook shows how metadata works, enhancing findability, discoverability, and, of course, book sales. It introduces industry standards (think ONIX!) and best practices, and outlines the essential components for successful metadata creation and distribution. This handbook is a must for every publisher, both for print books and for ebooks. The new second edition is fully updated and expanded to include the most recent information on metadata standards, practices, and use in the publishing industry. |
| data taxonomy in digital marketing: B-SPACE 2019 Siti Kholifah, Muhaimin Zulhair Achsin , Ratnaningsih Damayanti , Muhammad Rohmadi, Memet Sudaryanto , 2020-05-12 We are delighted to introduce the 2019 Brawijaya International Conference on Social and Political Sciences (B-SPACE). The aim of B-SPACE (Brawijaya International Conference on Social and Political Sciences) is to provide a platform for various stakeholders, varying from professionals, researchers, and academicians from across the world to present their scientific take and research results on social and political matters. The theme of B-SPACE 2019 was “Gender & Digital Society 4.0”. The amount of participants registered on the initial phase was 140. However, BSPACE 2019 cumulatively consisted of 79 scientific papers, presented orally by the respective authors during the two-day-conference. The oral presentation sessions were opened for the public, allowing a productive interaction between the presenters and the audience where knowledge and information were further shared. Aside from the opportunity to present them in front of an audience, the submitted scientific papers are processed to be published in EAI/EUDL proceedings. |
| data taxonomy in digital marketing: The Future of Charity Marketing Sarah-Louise Mitchell, Fran Hyde, 2024-11-07 Charities play an increasingly important role in our society. Whether caring for the vulnerable, campaigning for change or enabling access to the arts, they are organisations on a mission, underpinned by social purpose. However, charities now face unique challenges in a turbulent global economic climate due to structural changes in society post Covid and pressure on disposable incomes. Charities need to transform and, in some cases, modernise for sustained increasing demand from their service users. They need to engage with a wider range of stakeholders, meet higher public expectations on transparency and governance and compete for resources from existing as well as a continuous range of new competitors. This book brings together leading scholars to think about what is needed to future proof the nonprofit sector in areas such as partnerships, collaborations, branding, communications, income generation and fundraising, stakeholder involvement and meeting the future needs of service users. This edited collection builds upon the research in the editors' first book Charity Marketing: Contemporary Issues, Research and Practice to challenge students, researchers and practitioners in understanding the challenges and opportunities ahead and think about how to future proof nonprofit marketing. Drawing from a diverse group of academics and deep-thinking practitioners, The Future of Charity Marketing focuses on how charities can prepare for the future through sharing big ideas and examples of best practice. Presenting contrasting perspectives and the latest thinking on a range of challenges, this book gives topics for classroom debate, identifies areas for future research and offers practitioners useful insights. |
| data taxonomy in digital marketing: Handbook of Research on Digital Marketing Innovations in Social Entrepreneurship and Solidarity Economics Saiz-Alvarez, Jose Manuel, 2019-04-26 Technological advances in the realm of business have attributed to the global interest of using digital innovations to increase consumer traffic. Utilizing these new techniques can increase the profitability of business industries and consumer analytic information for future reference. The Handbook of Research on Digital Marketing Innovations in Social Entrepreneurship and Solidarity Economics is a collection of research on social entrepreneurship as a critical element of economic growth with a look at the evolutionary aspects of digital technologies on the industry. While highlighting topics including social media, microfinance, and consumer behavior, this book is ideally designed for marketers, managers, professionals, academics, and graduate-level students concerned about the fields of economics, sociology, education, politics, and digital technology innovation. |
| data taxonomy in digital marketing: Innovations in Magazine Publishing Simon Das, David Stam, Andrew Blake, 2021-05-05 This book examines the key developments in the UK magazine industry since 2014 and explains in detail how the business has innovated to survive. Innovations in Magazine Publishing explores the key issues that publishers and editors have had to grapple with in recent years and demonstrates how they have changed their business models and encouraged innovation and creativity. Written in an engaging and accessible style, the authors and contributors have drawn on years of industry expertise and contacts to examine the massive changes that have taken place in the areas of content creation and advertising in the last decade. Beginning with a highly useful summary of UK magazine publishing history, the book then provides a detailed focus on how magazines have had to adapt to a declining revenue picture in both copy and advertisement sales. This discussion considers changes in ownership and the supply chain, mutual dependency on social media, the rapid growth of the independent sector, investing in brand and product extensions, and how media companies themselves have changed to meet the demands of the new era. The important issue of ethnic diversity within the UK publishing industry is addressed and the introduction also includes a discussion of the effects of the Covid-19 pandemic on the industry, and how the magazine business will need to respond to whatever the future may bring. This comprehensive overview of the current state of the industry is a vital resource for students, researchers and professionals in magazine journalism, as well as for those studying media and journalism studies more generally. |
| data taxonomy in digital marketing: Data Analysis and Optimization Boris Goldengorin, Sergei Kuznetsov, 2023-09-23 This book presents the state-of-the-art in the emerging field of data science and includes models for layered security with applications in the protection of sites—such as large gathering places—through high-stake decision-making tasks. Such tasks include cancer diagnostics, self-driving cars, and others where wrong decisions can possibly have catastrophic consequences. Additionally, this book provides readers with automated methods to analyze patterns and models for various types of data, with applications ranging from scientific discovery to business intelligence and analytics. The book primarily includes exploratory data analysis, pattern mining, clustering, and classification supported by real life case studies. The statistical section of this book explores the impact of data mining and modeling on the predictability assessment of time series. Further new notions of mean values based on ideas of multi-criteria optimization are compared with their conventional definitions, leading to new algorithmic approaches to the calculation of the suggested new means. The style of the written chapters and the provision of a broad yet in-depth overview of data mining, integrating novel concepts from machine learning and statistics, make the book accessible to upper level undergraduate and graduate students in data mining courses. Students and professionals specializing in computer and management science, data mining for high-dimensional data, complex graphs and networks will benefit from the cutting-edge ideas and practically motivated case studies in this book. |
| data taxonomy in digital marketing: Digital Marketing Strategies and Models for Competitive Business Pinto, Filipe Mota, Guarda, Teresa, 2020-03-27 Modern marketing practices have evolved to become a dynamic meeting point for technology practitioners and business professionals. Digital technologies have added a new paradigm to the way businesses are projected, communicated, and developed through their marketing activities, from message delivery to content production. Digital Marketing Strategies and Models for Competitive Business is a collection of innovative research that seeks to connect theory with application, identifying best practices over digital marketing to business purposes. While highlighting topics including consumer analysis, search engine marketing, and marketing communications, this book is ideally designed for marketers, managers, executives, advertisers, graphic designers, researchers, practitioners, entrepreneurs, policymakers, and educators. |
| data taxonomy in digital marketing: Recent Advances on Soft Computing and Data Mining Rozaida Ghazali, Mustafa Mat Deris, Nazri Mohd Nawi, Jemal H. Abawajy, 2018-01-11 This book offers a systematic overview of the concepts and practical techniques that readers need to get the most out of their large-scale data mining projects and research studies. It guides them through the data-analytical thinking essential to extract useful information and obtain commercial value from the data. Presenting the outcomes of International Conference on Soft Computing and Data Mining (SCDM-2017), held in Johor, Malaysia on February 6–8, 2018, it provides a well-balanced integration of soft computing and data mining techniques. The two constituents are brought together in various combinations of applications and practices. To thrive in these data-driven ecosystems, researchers, engineers, data analysts, practitioners, and managers must understand the design choice and options of soft computing and data mining techniques, and as such this book is a valuable resource, helping readers solve complex benchmark problems and better appreciate the concepts, tools, and techniques employed. |
| data taxonomy in digital marketing: Contemporary Research Methods and Data Analytics in the News Industry Gibbs, William J., 2015-07-01 The advent of digital technologies has changed the news and publishing industries drastically. While shrinking newsrooms may be a concern for many, journalists and publishing professionals are working to reorient their skills and capabilities to employ technology for the purpose of better understanding and engaging with their audiences. Contemporary Research Methods and Data Analytics in the News Industry highlights the research behind the innovations and emerging practices being implemented within the journalism industry. This crucial, industry-shattering publication focuses on key topics in social media and video streaming as a new form of media communication as well the application of big data and data analytics for collecting information and drawing conclusions about the current and future state of print and digital news. Due to significant insight surrounding the latest applications and technologies affecting the news industry, this publication is a must-have resource for journalists, analysts, news media professionals, social media strategists, researchers, television news producers, and upper-level students in journalism and media studies. This timely industry resource includes key topics on the changing scope of the news and publishing industries including, but not limited to, big data, broadcast journalism, computational journalism, computer-mediated communication, data scraping, digital media, news media, social media, text mining, and user experience. |
| data taxonomy in digital marketing: Digital Advertising Shelly Rodgers, Esther Thorson, 2017-02-17 Digital Advertising offers a detailed and current overview of the field that draws on current research and practice by introducing key concepts, models, theories, evaluation practices, conflicts, and issues. With a balance of theory and practice, this book helps provide the tools to evaluate and understand the effects of digital advertising and promotions campaigns. New to this edition is discussion of big data analysis, privacy issues, and social media, as well as thought pieces by leading industry practitioners. This book is ideal for graduate and upper-level undergraduate students, as well as academics and practitioners. |
| data taxonomy in digital marketing: Big Data Marketing Strategies for Superior Customer Experience Saura, Jose Ramon, 2023-04-17 The rapid growth of technological developments on the internet has led many companies to adapt their businesses to the digital ecosystem and implement new methods and techniques to improve the users’ experiences and their analytical strategies. Moreover, in the past few years, the digital ecosystem has been chosen as the main channel used by consumers for the purchase of goods and services. As a result, digital marketing and online advertising have become the main strategies used by companies in their marketing actions. Advertising can be designed and shown considering users’ interests based on what they visit or where they go. That implies that the user experience is improved as long as they receive personalized adverts focused on what they were curious or concerned about. Thus, techniques such as artificial intelligence (AI), data mining, or business intelligence have allowed companies to act accordingly in real-time without user perception. Big Data Marketing Strategies for Superior Customer Experience compiles and studies the major practices and case studies of big data marketing in recent years. In this digital era, this book can be used as a sourcebook on study cases focused on digital marketing strategies as well as the identification of new technologies that will help the development of initiatives and practices focused on marketing and data sciences. Covering topics such as customer satisfaction, collective intelligence, and sentiment analysis, this premier reference source is an essential resource for students and educators of higher education, marketers, innovators, business leaders and managers, entrepreneurs, librarians, researchers, and academicians. |
| data taxonomy in digital marketing: Big Data Amandeep Singh, Rohit Bansal, Sandhir Sharma, 2022-09-06 Imagine being able to target an audience made up of highly qualified and purchase-ready prospects and easily building them into loyal clients by anticipating their needs and hence offering true value. This is the power of big data for digital marketing. Big Data: A Roadmap for Successful Digital Marketing explores recent trends in the use of big data to predict consumer behavior, strategies to engage online customers, integration of big data with other data sources, and its applications in social media analytics, mobile marketing, search engine optimization and customer relationship management. As the marketing world moves into a data-focused future, the success of marketing efforts will be wholly based on attention to detail in data analysis and effectively acting on insights in order to implement changes that will deliver improved results. This book will help professionals succeed in their digital marketing efforts as well as provide food for thought for students and researchers in the fields of digital marketing, customer behavior and big data analytics. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
